Description

We are looking for an experienced Databricks Data Engineer with strong expertise in Azure cloud, big data technologies, and data engineering practices.

Required Skills & Experience:
Hands-on experience with Azure Data Services including Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage (ADLS)
Experience with cloud compute and storage services such as Azure VMs, Azure Blob Storage, EBS, and Cloud Storage
Strong understanding of data modelling techniques – Star Schema, Snowflake Schema, Normalization, and Denormalization
Experience implementing cloud security best practices including Azure AD, Key Vault, and VPC configurations
Hands-on experience with Big Data technologies – Hadoop ecosystem, Spark, and Kafka
Strong knowledge of ETL / ELT processes and tools such as Apache NiFi, Talend, Informatica, and Apache Airflow
Strong programming skills in Python and SQL
Experience managing on-premises infrastructure including servers, networking, storage, Linux, and Windows Server
Hands-on experience with on-premises cluster management like Cloudera and Hortonworks
Exposure to on-premises security measures such as firewalls, VPNs, and data encryption is a plus
Experience implementing data governance frameworks and ensuring data quality
Strong problem-solving, communication, and collaboration skills

Ideal Candidate:
Looking for professionals with 5–8 years of experience in Data Engineering, particularly with Azure Databricks, big data ecosystems, and enterprise data platforms.

Key Skills

Education

Any Graduate